Total Words: 4,404,845 | Hindi Words: 32,905 |5,332 sentences/phrases in each mother tonguesIndia has 270 mother tongues as per 2011 census. Following the requirements of the NEP-2020, LDC-IL developed parallel corpus in Indian mother tongues. The Hindi parallel text corpus connected with English and 146 mother tongues of India. It contains 5,332 sentences/phrases systematically structured based on 159 grammatical categories. The Hindi section includes 32,905 words and 147,098 characters. Overall, the corpus comprises 4,404,845 words (over 4.4 million tokens) and 23,374,289 characters (approximately 23.3 million).The price indicated corresponds to a single language component. The total payment will be determined based on the number of language components requested by the seeker.For any research-based citations, please use the following citations:1. Dr. Satyaendra Kumar Awasthi, Dr. Narayan Choudhary, Prof. Shailendra Mohan. 2026. Hindi Parallel Text Corpus: Linguistic Features and Structures. Central Institute of Indian Languages, Mysore. 978-81-69099-96-7.2. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2025. LDC-IL Corpus Insights. Central Institute of Indian Languages, Mysore. 978-93-48633-33-0...

770004 Tags | 663282 Words |47212 SentencesThe Linguistic Data Consortium for Indian Languages (LDC-IL) is developed Parts-of-Speech annotated corpus for Scheduled Indian languages. The corpus is annotated with Part-of-Speech (PoS) tags based on the Bureau of Indian Standards (BIS) PoS Tagset. This data is a significant resource for natural language processing and linguistic research. LDC-IL developed annotated text corpora for Hindi. The Hindi PoS annotated corpus is automatically tagged and then verified by linguistic experts to ensure accuracy and consistency.Hindi PoS annotated Corpus contains 770004 Part-of-Speech tags.For any research-based citations, please use the following citations:1. Dr. Satyaendra Kumar Awasthi, Dr. Narayan Choudhary, Rajesha N., Prof. Shailendra Mohan. 2026. Hindi Parts of Speech Annotated Corpus. Central Institute of Indian Languages, Mysore. 978-81-69175-44-9.2. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2026. LDC-IL Parts of Speech Annotated Corpus Based on BIS Framework. Central Institute of Indian Languages, Mysore. 978-81-69175-60-9...

121:00:06 Hours | 76.6 GB | 488 Speakers | 70686 Audio Segments | 48 kHz | 16 bit wav.Hindi is a Major, Indo-Aryan language, a descendant of Sanskrit, which is spoken in the central and northern India, in the states of Bihar, Chhattisgarh, Delhi, Haryana, Himachal Pradesh, Jharkhand, Madhya Pradesh, Rajasthan, Uttarakhand, and Uttar Pradesh. The LDC-IL speech data is collected from the regions of Awadhi belt, Bhojpuri belt, Magahi belt and Khariboli belt from both the genders and different age groups. LDC-IL Hindi speech data has 121:00:06 hours. The LDC-IL Hindi Speech data set consists of different types of datasets that are made up of word lists, sentences, running texts and date formats.The available Speech Corpus details:Total  Speakers 488 (234  Female and 254 Male) Domains Audio Segments Each Domain Duration Contemporary Text (News) 457 37:22:29 Creative Text 463 29:24:08 Sentence 10173 8:41:17 Date Format 764 0:46:56 Command and Control Words 12284 8:34:51 Person Name 8171 9:55:25 Place Name 4085 3:14:44 Most Frequent Word - Part 12315 8:09:10 Most Frequent Word - Full Set 6994 4:30:14 Phonetically Balanced 11986 8:23:43 Form and Function - Word 2994 1:57:09 A detailed explanation of the Hindi Speech Corpus will be available in the Hindi Speech Data Documentation. For any research-based citations, please use the following citations: Ramamoorthy, L., Narayan Choudhary,  Jitendra Kumar Singh, Richa, Anjali Sinha, Dheeraj Kumar Mishra, Arimardan Kumar Tripathi & Satyaendra Kumar Awasthi. 2019. Hindi Raw Speech Corpus. Central Institute of Indian Languages, Mysore.Choudhary, Narayan, Rajesha N., Manasa G. & L. Ramamoorthy. 2019. “LDC-IL Raw Speech Corpora: An Overview”  in Linguistic Resources for AI/NLP in Indian Languages. Central Institute of Indian Languages, Mysore.  pp. 160-174...

Dataset Description: 72:34:52 hours | 45.9 GB | 42,275 Audio Segments | 473 speakersThe annotated speech corpus gives wide range of linguistic information especially useful to analyse phonetics. The LDC-IL Hindi Sentence Aligned Speech dataset comprises audio files in wav format, accompanied by a corresponding textual layer containing phonetically normalized and orthographically normalized annotations in Devanagari script. This dataset spans a duration of 72:34:52 (hh:mm:ss), consisting of read speech with continuous text, representative sentences, and date formats. The data is derived from 225 female and 248 male native Hindi speakers, encompassing diverse age groups and regions. A comprehensive explanation of dataset can be found in the Hindi Sentence Aligned Speech Documentation.For any research-based citations, please use the following citations:1. Satyaendra Kumar Awasthi, Ankita Tiwari, Rajesha N., Manasa G., Srikanth D., Stephen Fernandes, Nithin S., Narayan Kumar Choudhary, Shailendra Mohan. 2023. Hindi Sentence Aligned Speech Corpus Central Institute of Indian Languages, Mysore. 978-81-19411-28-3.2. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2023. Compendium of LDC-IL Sentence Aligned Speech Corpus. Central Institute of Indian Languages, Mysore. ISBN: 978-81-19411-34-4.3.    Choudhary, N. 2021. LDC-IL: The Indian Repository of Resources for Language Technology. Language Resources & Evaluation. Springer, Vol. 55, Issue 1. doi: https://doi.org/10.1007/s10579-020-09523-3..

Total Words: 4,404,845 | Malvi Words: 32,194 | 5,332 sentences/phrases in each mother tonguesIndia has 270 mother tongues as per 2011 census. Following the requirements of the NEP-2020, LDC-IL developed parallel corpus in Indian mother tongues. The Indian English parallel text corpus connected with 147 mother tongues of India. It contains 5,332 sentences/phrases systematically structured based on 159 grammatical categories. The Indian English section includes 32,194 words and 1,58,680 characters. Overall, the corpus comprises 44,04,845 words (over 4.4 million tokens) and 2,33,74,289 characters (approximately 23.3 million).The price indicated corresponds to a single language component. The total payment will be determined based on the number of language components requested by the seeker.For any research-based citations, please use the following citations:1. Dr. Rejitha K. S., Dr. Narayan Kumar Choudhary, Prof. Shailendra Mohan. 2026. Indian English Parallel Text Corpus: Linguistic Features and Structures. Central Institute of Indian Languages, Mysore. 978-81-69099-78-3.2. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2025. LDC-IL Corpus Insights. Central Institute of Indian Languages, Mysore. 978-93-48633-33-0...

Dataset Description:09:21:08 hours | 5.53 GB | 5,676 Audio Segments | 52 speakersThe annotated speech corpus gives wide range of linguistic information especially useful to analyse phonetics. The LDC-IL Indian English-Bengali variant Sentence Aligned Speech dataset comprises audio files in wav format, accompanied by a corresponding textual layer containing Roman script. This dataset spans a duration of 09:21:08 (hh:mm:ss), consisting of read speech with continuous text, representative sentences, and date formats. The data is derived from 26 female and 26 male native Bengali speakers, encompassing diverse age groups and regions. A comprehensive explanation of the dataset can be found in the Indian English-Bengali variant Sentence Aligned Speech Documentation.For any research-based citations, please use the following citations:1. Rejitha K. S., Poulami Das, Rajesha N., Manasa G., Srikanth D., Nithin S., Narayan Kumar Choudhary, Shailendra Mohan. 2023 Indian English-Bengali variant Sentence Aligned Speech Corpus Central Institute of Indian Languages, Mysore. 978-81-19411-43-6.2. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2023. Compendium of LDC-IL Sentence Aligned Speech Corpus. Central Institute of Indian Languages, Mysore. ISBN: 978-81-19411-34-4.3.  Choudhary, N. 2021. LDC-IL: The Indian Repository of Resources for Language Technology. Language Resources & Evaluation. Springer, Vol. 55, Issue 1. doi: https://doi.org/10.1007/s10579-020-09523-3..

Dataset Description:11:17:40 hours | 7.27 GB | 6,166 Audio Segments | 53 speakersThe annotated speech corpus gives wide range of linguistic information especially useful to analyse phonetics. The LDC-IL Indian English-Kannada variant Sentence Aligned Speech dataset comprises audio files in wav format, accompanied by a corresponding textual layer containing Roman script. This dataset spans a duration of 11:17:40 (hh:mm:ss), consisting of read speech with continuous text, representative sentences, and date formats. The data is derived from 26 female and 27 male native Kannada speakers, encompassing diverse age groups and regions. A comprehensive explanation of the dataset can be found in the Indian English-Kannada variant Sentence Aligned Speech Documentation.For any research-based citations, please use the following citations:1. Rejitha K. S., Vijayalaxmi F. Patil, Rajesha N., Manasa G., Srikanth D., Nithin S.,Narayan Kumar Choudhary, Shailendra Mohan. 2023 Indian English-Kannada variant Sentence Aligned Speech Corpus Central Institute of Indian Languages, Mysore. 978-81-19411-35-1.2. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2023. Compendium of LDC-IL Sentence Aligned Speech Corpus. Central Institute of Indian Languages, Mysore. ISBN: 978-81-19411-34-4.3.  Choudhary, N. 2021. LDC-IL: The Indian Repository of Resources for Language Technology. Language Resources & Evaluation. Springer, Vol. 55, Issue 1. doi: https://doi.org/10.1007/s10579-020-09523-3..

Total Words: 4,404,845 | Irula/Irular Mozhi Words: 22,909 | 5,332 sentences/phrases in each mother tonguesIndia has 270 mother tongues as per 2011 census. Following the requirements of the NEP-2020, LDC-IL developed parallel corpus in Indian mother tongues. The Irula/Irular Mozhi parallel text corpus connected with English and 146 mother tongues of India. It contains 5,332 sentences/phrases systematically structured based on 159 grammatical categories. The Irula/Irular Mozhi section includes 22,909 words and 164,665 characters. Overall, the corpus comprises 4,404,845 words (over 4.4 million tokens) and 23,374,289 characters (approximately 23.3 million).The price indicated corresponds to a single language component. The total payment will be determined based on the number of language components requested by the seeker.For any research-based citations, please use the following citations:1. Dr. Amudha R., Dr. Rejitha K. S., Dr. Narayan Kumar Choudhary, Prof. Shailendra Mohan. 2026. Irula/Irular Mozhi Parallel Text Corpus: Linguistic Features and Structures. Central Institute of Indian Languages, Mysore. 978-81-69099-11-02. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2025. LDC-IL Corpus Insights. Central Institute of Indian Languages, Mysore. 978-93-48633-33-0...

Total Words: 4,404,845 | Kabui Words: 32841 | 5,332 sentences/phrases in each mother tonguesIndia has 270 mother tongues as per 2011 census. Following the requirements of the NEP-2020, LDC-IL developed parallel corpus in Indian mother tongues. The Kabui parallel text corpus connected with English and 146 mother tongues of India. It contains 5,332 sentences/phrases systematically structured based on 159 grammatical categories. The Kabui section includes 32841 words and 198758 characters. Overall, the corpus comprises 4,404,845 words (over 4.4 million tokens) and 23,374,289 characters (approximately 23.3 million).The price indicated corresponds to a single language component. The total payment will be determined based on the number of language components requested by the seeker.For any research-based citations, please use the following citations:1. Yumnam Premila Chanu, Dr. Rejitha K. S., Dr. Narayan Choudhary, Prof. Shailendra Mohan. Kabui Parallel Text Corpus: Linguistic Features and Structures. Central Institute of Indian Languages, Mysore. 978-81-69099-75-2.2. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2025. LDC-IL Corpus Insights. Central Institute of Indian Languages, Mysore. 978-93-48633-33-0...

Total Words: 4,404,845 | Kachchhi Words: 30,410 | 5,332 sentences/phrases in each mother tonguesIndia has 270 mother tongues as per 2011 census. Following the requirements of the NEP-2020, LDC-IL developed parallel corpus in Indian mother tongues. The Kachchhi parallel text corpus connected with English and 146 mother tongues of India. It contains 5,332 sentences/phrases systematically structured based on 159 grammatical categories. The Kachchhi section includes 30,410 words and 143,091 characters. Overall, the corpus comprises 4,404,845 words (over 4.4 million tokens) and 23,374,289 characters (approximately 23.3 million).The price indicated corresponds to a single language component. The total payment will be determined based on the number of language components requested by the seeker.For any research-based citations, please use the following citations:1. Mr. Saurabh Varik, Dr. Rejitha K. S., Dr. Narayan Kumar Choudhary, Prof. Shailendra Mohan. 2026. Kachchhi Parallel Text Corpus: Linguistic Features and Structures. Central Institute of Indian Languages, Mysore. 978-81-69099-89-9.2. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2025. LDC-IL Corpus Insights. Central Institute of Indian Languages, Mysore. 978-93-48633-33-0...

Total Words: 4,404,845 | Kangri Words: 31,135 | 5,332 sentences/phrases in each mother tonguesIndia has 270 mother tongues as per 2011 census. Following the requirements of the NEP-2020, LDC-IL developed parallel corpus in Indian mother tongues. The Kangri parallel text corpus connected with English and 146 mother tongues of India. It contains 5,332 sentences/phrases systematically structured based on 159 grammatical categories. The Kangri section includes 31,135 words and 154,850 characters. Overall, the corpus comprises 4,404,845 words (over 4.4 million tokens) and 23,374,289 characters (approximately 23.3 million).The price indicated corresponds to a single language component. The total payment will be determined based on the number of language components requested by the seeker.For any research-based citations, please use the following citations:1. Dr. Satyaendra Kumar Awasthi, Dr. Rejitha K. S., Dr. Narayan Choudhary, Prof. Shailendra Mohan. 2026. Kangri Parallel Text Corpus: Linguistic Features and Structures. Central Institute of Indian Languages, Mysore. 978-81-69099-99-8.2. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2025. LDC-IL Corpus Insights. Central Institute of Indian Languages, Mysore. 978-93-48633-33-0...

Total Words: 4,404,845 | Kannada Words: 21,972 | 5,332 sentences/phrases in each mother tonguesIndia has 270 mother tongues as per 2011 census. Following the requirements of the NEP-2020, LDC-IL developed parallel corpus in Indian mother tongues. The Kannada parallel text corpus connected with English and 146 mother tongues of India. It contains 5,332 sentences/phrases systematically structured based on 159 grammatical categories. The Kannada section includes 21,972 words and 167,366 characters. Overall, the corpus comprises 4,404,845 words (over 4.4 million tokens) and 23,374,289 characters (approximately 23.3 million).The price indicated corresponds to a single language component. The total payment will be determined based on the number of language components requested by the seeker.For any research-based citations, please use the following citations:1. Dr. Vijayalaxmi F Patil, Dr. Rejitha K. S., Dr. Narayan Choudhary, Prof. Shailendra Mohan. 2026. Kannada Parallel Text Corpus: Linguistic Features and Structures. Central Institute of Indian Languages, Mysore. 978-81-69099-74-5.2. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2025. LDC-IL Corpus Insights. Central Institute of Indian Languages, Mysore. 978-93-48633-33-0...

769767 Tags| 642885 Words | 66113 SentencesThe Linguistic Data Consortium for Indian Languages (LDC-IL) is developed Parts-of-Speech annotated corpus for Scheduled Indian languages. The corpus is annotated with Part-of-Speech (PoS) tags based on the Bureau of Indian Standards (BIS) PoS Tagset. This data is a significant resource for natural language processing and linguistic research. LDC-IL developed annotated text corpora for Kannada. The Kannada PoS annotated corpus is automatically tagged and then verified by linguistic experts to ensure accuracy and consistency.Kannada PoS annotated Corpus contains 1322728 Part-of-Speech tags.For any research-based citations, please use the following citations:1. Dr. Vijayalaxmi F Patil, Chetan Baji, Dr. Narayan Choudhary, Rajesha N., 2026. Kannada Parts of Speech Annotated Corpus. Central Institute of Indian Languages, Mysore. 978-81-69175-32-6.2. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2026. LDC-IL Parts of Speech Annotated Corpus Based on BIS Framework. Central Institute of Indian Languages, Mysore. 978-81-69175-60-9...

179:32:52 hours of 115 GB | 656 Speakers | 99109 Audio segments | 48 kHz | 16 bit wavKannada is one of the Ancient Indian languages belong to the Dravidian family. It has its own script. The language in a region is influenced by other languages of the region, the mother tongue of the speaker, etc. The reading speed, loudness, frequency etc also differ depending on certain factors like age, gender, etc. Linguistic data consortium identified four regional dialects and collected the speech corpus through fieldwork. This read data is collected from various age groups, of male and female native speakers in equal numbers. This data includes Texts, Sentences, Date Formats, and different wordlists. The available Speech Corpus details:     Total Speakers - 656 (328 Female and 328 Male) Domains Audio Segments Each Domain Duration Contemporary Text (News) 600 66:06:09 Creative Text 600 33:09:20 Sentence 14,887 13:58:15 Date Format 1,200 1:16:22 Command and Control Words 17,988 12:31:43 Person Name 12,009 13:04:49 Place Name 6,032 4:48:42 Most Frequent Word - Part 18,065 12:21:24 Most Frequent Word - Full Set 8,000 02:08:58 Phonetically Balanced 9,360 02:40:58 Form and Function - Word 10,368 03:14:38       A  detailed explanation of the Kannada Speech Corpus will be available in the Kannada Speech Data Documentation. For any research-based citations, please use the following citations:Ramamoorthy, L., Narayan Choudhary, Vijayalaxmi F. Patil, Chetan Suryakant Baji, Malini N. Abhyankar,  Rajesha N. & Manasa G. 2019. Kannada Raw Speech Corpus. Central Institute of Indian Languages, Mysore.Choudhary, Narayan, Rajesha N., Manasa G. & L. Ramamoorthy. 2019. “LDC-IL Raw Speech Corpora: An Overview”  in Linguistic Resources for AI/NLP in Indian Languages. Central Institute of Indian Languages, Mysore.  pp. 160-174...

Dataset Description: 107:48:50 hours | 69.4 GB | 65,533 Audio Segments | 600 speakersThe annotated speech corpus gives wide range of linguistic information especially useful to analyse phonetics. The LDC-IL Kannada Sentence Aligned Speech dataset comprises audio files in wav format, accompanied by a corresponding textual layer containing phonetically normalized and orthographically normalized annotations in Kannada script. This dataset spans a duration of 107:48:50 (hh:mm:ss), consisting of read speech with continuous text, representative sentences, and date formats. The data is derived from 300 female and 300 male native Kannada speakers, encompassing diverse age groups and regions. A comprehensive explanation of dataset can be found in the Kannada Sentence Aligned Speech Documentation.For any research-based citations, please use the following citations:1. Vijayalaxmi F. Patil, Chetan Baji, Kavitha Lenin, Reshma S., Rajesha N., Manasa G., Srikanth D., Stephen Fernandes, Nithin S., Narayan Kumar Choudhary, Shailendra Mohan. 2023. Kannada Sentence Aligned Speech Corpus Central Institute of Indian Languages, Mysore. 978-81-19411-19-1.2. Rejitha K. S. and Narayan Kumar Choudhary. (ed.). 2023. Compendium of LDC-IL Sentence Aligned Speech Corpus. Central Institute of Indian Languages, Mysore. ISBN: 978-81-19411-34-4.3.  Choudhary, N. 2021. LDC-IL: The Indian Repository of Resources for Language Technology. Language Resources & Evaluation. Springer, Vol. 55, Issue 1. doi: https://doi.org/10.1007/s10579-020-09523-3..